Siemens Pune AI/ML Engineer Posts | Bachelor’s Degree/Master’s Degree | Apply Now

Siemens Ltd, a German conglomerate company, focuses its services in Industry, Energy, Healthcare, and Infrastructure & Cities.  

In the latest job announcement, Siemens announces job vacancies for AI/ML Engineer posts, with work location in Pune.

Under Siemens Pune AI/ML Engineer 2026 Jobs, candidates having required skills in Python, AI/ML libraries, C++, Docker, and Kubernetes can apply.

The selected candidate will be recruited with a permanent and full-time job.

An Interested and qualified candidate has to apply through online mode.

Job Designation: AI/ML Engineer.

Job Code: 506799.

Education Qualification: Bachelor’s Degree/Master’s Degree.

Experience Level: 2 to 4 years.

Job Location: Pune.

Apply Mode: Online.

Key Responsibilities:

• Design, develop, and deploy GenAI-powered applications using modern LLM ecosystems.
• Build AI agents and multi-agent systems to solve real business problems.
• Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models.
• Integrate open-source and commercial LLMs through APIs and self-hosted deployments.
• Create scalable backend services and APIs for AI applications.
• Build intuitive frontend interfaces for AI-powered applications and dashboards.
• Implement prompt engineering, agent memory, tool calling, and workflow orchestration.
• Fine-tune, evaluate, and optimize AI/ML models for performance and cost efficiency.
• Collaborate with architects, product teams, and DevOps engineers to deliver production-grade AI solutions.
• Establish CI/CD pipelines, monitoring, observability, and deployment automation for AI systems.
• Stay updated with emerging trends in GenAI, agentic frameworks, multimodal AI, and autonomous systems.
• Computer Vision Applications: Work on AI-driven computer vision projects, including but not limited to image classification, object detection, segmentation, and image enhancement. Implement innovative computer vision algorithms for solving practical problems.
• AI & ML Algorithms: Leverage machine learning (ML) techniques to improve and fine-tune generative AI models and computer vision systems. Familiarity with both supervised and unsupervised learning techniques is essential.
• Research and Development: Stay up to date with the latest advancements in Generative AI, Computer Vision, and related fields. Experiment with new techniques and frameworks to continually improve the quality and capabilities of our solutions.
• Collaboration: Work closely with data scientists, software engineers, and product teams to deliver high-quality AI-based products. Contribute to the team’s technical discussions and knowledge sharing.
• Model Deployment & Maintenance: Work on deploying and maintaining AI models, ensuring reliability and performance. Set up and manage model training and inference pipelines.

Technical Skills:

• Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or openVINO.
• Experience with GenAI or Large Language Models or NLP for training, fine-tuning, and evaluating LLMs
• Experience in computer vision algorithms and frameworks (e.g., OpenCV, Detectron2, YOLO).
• Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning).
• Familiarity with deploying AI models in offline environments and working with locally hosted models.
• Strong mathematical/statistical skills and the ability to clearly understand, define and communicate complex concepts in this area.

Programming Skills:

• Advanced proficiency in Python and relevant AI/ML libraries (NumPy, SciPy, scikit-learn).
• Familiarity with version control tools (e.g., Git).
• Experience with C++ along with Docker, Kubernetes, or other containerization technologies is a plus.
• Problem Solving: Strong analytical and problem-solving skills with the ability to tackle complex and unstructured problems in AI and computer vision.
• Communication Skills: Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Nice-to-Have:

• Familiarity with AI hardware accelerators (e.g., GPUs, TPUs) and distributed computing.
• Knowledge of AI ethics and privacy considerations, especially in the context of offline AI.

How to apply:

Interested and qualified job applicants have to apply through online mode, by initially registering with Siemens career portal and login in to apply.

Apply online:

https://jobs.siemens.com/en_US/externaljobs/JobDetail/506799

For more information about Siemens vacancies, visit the Siemens Recruitment page.